TY - GEN
T1 - Spatial anchor based indoor asset tracking
AU - He, Wennan
AU - Xi, Mingze
AU - Gardner, Henry
AU - Swift, Ben
AU - Adcock, Matt
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/3
Y1 - 2021/3
N2 - Indoor asset tracking is an essential task in many areas of industry such as shipping and warehousing. Widely-used asset tracking technologies typically require supporting infrastructure (signal transponders) to communicate with active tags on the assets. Continuous asset tracking in large indoor spaces like warehouses can be costly, and reliable reference points are needed to calculate asset positions accurately. In this paper, we describe an indoor asset tracking technique for augmented reality (AR) that combines the use of (passive) fiducial markers together with flexible spatial anchors. Our approach, called SABIAT, continuously tracks the approximate location of an asset using spatial anchors and, when needed, the precise location of that asset using fiducial markers. We have applied our SABIAT technique to build a demonstrator system, AR-IPS, to show how assets can be tracked and located inside of a large, multi-level building.
AB - Indoor asset tracking is an essential task in many areas of industry such as shipping and warehousing. Widely-used asset tracking technologies typically require supporting infrastructure (signal transponders) to communicate with active tags on the assets. Continuous asset tracking in large indoor spaces like warehouses can be costly, and reliable reference points are needed to calculate asset positions accurately. In this paper, we describe an indoor asset tracking technique for augmented reality (AR) that combines the use of (passive) fiducial markers together with flexible spatial anchors. Our approach, called SABIAT, continuously tracks the approximate location of an asset using spatial anchors and, when needed, the precise location of that asset using fiducial markers. We have applied our SABIAT technique to build a demonstrator system, AR-IPS, to show how assets can be tracked and located inside of a large, multi-level building.
KW - Human-centered computing-Mixed / augmented reality
KW - Information systems-Location based services
UR - http://www.scopus.com/inward/record.url?scp=85106453795&partnerID=8YFLogxK
U2 - 10.1109/VR50410.2021.00047
DO - 10.1109/VR50410.2021.00047
M3 - Conference contribution
T3 - Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
SP - 255
EP - 259
BT - Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021
Y2 - 27 March 2021 through 3 April 2021
ER -